mypy

detectree2/models/train.py

@@ -536,7 +536,7 @@ def build_test_loader(cls, cfg, dataset_name):
         """
         return build_detection_test_loader(cfg, dataset_name, mapper=FlexibleDatasetMapper(cfg, is_train=False))
 
-def get_tree_dicts(directory: str, class_mapping = None) -> List[Dict]:
+def get_tree_dicts(directory: str, class_mapping: Dict[str, int] = None) -> List[Dict]:
     """Get the tree dictionaries.
 
     Args:
@@ -608,7 +608,7 @@ def get_tree_dicts(directory: str, class_mapping = None) -> List[Dict]:
 def combine_dicts(root_dir: str,
                   val_dir: int,
                   mode: str = "train",
-                  class_mapping = None) -> List[Dict]:
+                  class_mapping: Dict[str, int] = None) -> List[Dict]:
     """
     Combine dictionaries from different directories based on the specified mode.
 
@@ -976,7 +976,7 @@ def modify_conv1_weights(model, num_input_channels):
         model.backbone.bottom_up.stem.conv1.weight.copy_(new_weights)
 
 
-def get_latest_model_path(output_dir) -> str:
+def get_latest_model_path(output_dir: str) -> str:
     """
     Find the model file with the highest index in the specified output directory.